SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

Showing 28512860 of 10817 papers

TitleStatusHype
Discovery and Recognition of Formula Concepts using Machine LearningCode0
Learning Semantic Textual Similarity from ConversationsCode0
Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question AnsweringCode0
Learning content and context with language bias for Visual Question AnsweringCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Learning Conditioned Graph Structures for Interpretable Visual Question AnsweringCode0
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease DiagnosisCode0
Leveraging Large Language Models for Scalable Vector Graphics-Driven Image UnderstandingCode0
Learning a Natural Language Interface with Neural ProgrammerCode0
Adversarial Training with OCR Modality Perturbation for Scene-Text Visual Question AnsweringCode0
Show:102550
← PrevPage 286 of 1082Next →

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94Unverified
2FPNet (ensemble)EM90.87Unverified
3IE-NetV2 (ensemble)EM90.86Unverified
4SA-Net on Albert (ensemble)EM90.72Unverified
5SA-Net-V2 (ensemble)EM90.68Unverified
6FPNet (ensemble)EM90.6Unverified
7Retro-Reader (ensemble)EM90.58Unverified
8EntitySpanFocusV2 (ensemble)EM90.52Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49Unverified
10EntitySpanFocus+AT (ensemble)EM90.45Unverified